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<div class="title">perceptron-model-test.C</div>  </div>
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<a href="perceptron-model-test_8_c.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 <span class="comment">// Copyright 2012, Google Inc.</span>
<a name="l00002"></a>00002 <span class="comment">// All rights reserved.</span>
<a name="l00003"></a>00003 <span class="comment">// </span>
<a name="l00004"></a>00004 <span class="comment">// Redistribution and use in source and binary forms, with or without</span>
<a name="l00005"></a>00005 <span class="comment">// modification, are permitted provided that the following conditions are</span>
<a name="l00006"></a>00006 <span class="comment">// met:</span>
<a name="l00007"></a>00007 <span class="comment">// </span>
<a name="l00008"></a>00008 <span class="comment">//   * Redistributions of source code must retain the above copyright</span>
<a name="l00009"></a>00009 <span class="comment">//     notice, this list of conditions and the following disclaimer.</span>
<a name="l00010"></a>00010 <span class="comment">//   * Redistributions in binary form must reproduce the above</span>
<a name="l00011"></a>00011 <span class="comment">//     copyright notice, this list of conditions and the following disclaimer</span>
<a name="l00012"></a>00012 <span class="comment">//     in the documentation and/or other materials provided with the</span>
<a name="l00013"></a>00013 <span class="comment">//     distribution.</span>
<a name="l00014"></a>00014 <span class="comment">//   * Neither the name of Google Inc. nor the names of its</span>
<a name="l00015"></a>00015 <span class="comment">//     contributors may be used to endorse or promote products derived from</span>
<a name="l00016"></a>00016 <span class="comment">//     this software without specific prior written permission.</span>
<a name="l00017"></a>00017 <span class="comment">//</span>
<a name="l00018"></a>00018 <span class="comment">// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS</span>
<a name="l00019"></a>00019 <span class="comment">// &quot;AS IS&quot; AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT</span>
<a name="l00020"></a>00020 <span class="comment">// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR</span>
<a name="l00021"></a>00021 <span class="comment">// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT</span>
<a name="l00022"></a>00022 <span class="comment">// OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,</span>
<a name="l00023"></a>00023 <span class="comment">// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT</span>
<a name="l00024"></a>00024 <span class="comment">// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,           </span>
<a name="l00025"></a>00025 <span class="comment">// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY           </span>
<a name="l00026"></a>00026 <span class="comment">// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT</span>
<a name="l00027"></a>00027 <span class="comment">// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span>
<a name="l00028"></a>00028 <span class="comment">// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span>
<a name="l00029"></a>00029 <span class="comment">// -----------------------------------------------------------------------------</span>
<a name="l00030"></a>00030 <span class="comment">//</span>
<a name="l00031"></a>00031 <span class="comment">//</span>
<a name="l00035"></a>00035 <span class="comment"></span>
<a name="l00036"></a>00036 <span class="preprocessor">#include &lt;iostream&gt;</span>
<a name="l00037"></a>00037 <span class="preprocessor">#include &lt;tr1/memory&gt;</span>
<a name="l00038"></a>00038 
<a name="l00039"></a>00039 <span class="preprocessor">#include &quot;<a class="code" href="candidate_8_h.html" title="Provides the reranker::Candidate class for representing a candidate hypothesis from an initial model...">candidate.H</a>&quot;</span>
<a name="l00040"></a>00040 <span class="preprocessor">#include &quot;<a class="code" href="candidate-set_8_h.html" title="Class to hold a single training instance for a reranker, which is a set of examples, typically the n-best output of some input process, posibly including a gold-standard feature vector.">candidate-set.H</a>&quot;</span>
<a name="l00041"></a>00041 <span class="preprocessor">#include &quot;<a class="code" href="candidate-set-iterator_8_h.html" title="Provides an interface and some implementations for iterating over CandidateSet  instances.">candidate-set-iterator.H</a>&quot;</span>
<a name="l00042"></a>00042 <span class="preprocessor">#include &quot;<a class="code" href="candidate-set-reader_8_h.html" title="Class for reading streams of training or test instances, where each training or test instance is a re...">candidate-set-reader.H</a>&quot;</span>
<a name="l00043"></a>00043 <span class="preprocessor">#include &quot;<a class="code" href="model_8_h.html" title="Reranker model interface.">model.H</a>&quot;</span>
<a name="l00044"></a>00044 <span class="preprocessor">#include &quot;<a class="code" href="perceptron-model_8_h.html" title="Provides the reranker::PerceptronModel reranker class.">perceptron-model.H</a>&quot;</span>
<a name="l00045"></a>00045 <span class="preprocessor">#include &quot;<a class="code" href="model-proto-writer_8_h.html" title="Interface for serializer for reranker::Model instances to ModelMessage instances.">model-proto-writer.H</a>&quot;</span>
<a name="l00046"></a>00046 <span class="preprocessor">#include &quot;<a class="code" href="perceptron-model-proto-writer_8_h.html" title="Serializer for reranker::PerceptronModel instances to ModelMessage instances.">perceptron-model-proto-writer.H</a>&quot;</span>
<a name="l00047"></a>00047 <span class="preprocessor">#include &quot;../proto/data.pb.h&quot;</span>
<a name="l00048"></a>00048 <span class="preprocessor">#include &quot;../proto/dataio.h&quot;</span>
<a name="l00049"></a>00049 
<a name="l00050"></a><a class="code" href="perceptron-model-test_8_c.html#ad72dbcf6d0153db1b8d8a58001feed83">00050</a> <span class="preprocessor">#define DEBUG 1</span>
<a name="l00051"></a><a class="code" href="perceptron-model-test_8_c.html#a0a49f4458908b9ff400c3df12cd4e0ac">00051</a> <span class="preprocessor"></span><span class="preprocessor">#define REPORTING_INTERVAL 100</span>
<a name="l00052"></a>00052 <span class="preprocessor"></span>
<a name="l00053"></a><a class="code" href="perceptron-model-test_8_c.html#abd1f0ea17ba2c81d7bbae9751fd76690">00053</a> <span class="preprocessor">#define MAX_NUM_EXAMPLES 1000</span>
<a name="l00054"></a><a class="code" href="perceptron-model-test_8_c.html#a28c4e710d723a92d5dcd49098ca875e2">00054</a> <span class="preprocessor"></span><span class="preprocessor">#define MAX_NUM_CANDIDATES 1000000</span>
<a name="l00055"></a>00055 <span class="preprocessor"></span>
<a name="l00056"></a>00056 
<a name="l00057"></a>00057 <span class="keyword">using namespace </span>reranker;
<a name="l00058"></a>00058 <span class="keyword">using namespace </span>std;
<a name="l00059"></a>00059 <span class="keyword">using namespace </span>std::tr1;
<a name="l00060"></a>00060 
<a name="l00061"></a><a class="code" href="perceptron-model-test_8_c.html#a3c04138a5bfe5d72780bb7e82a18e627">00061</a> <span class="keywordtype">int</span> <a class="code" href="candidate-set-proto-reader-test_8_c.html#a3c04138a5bfe5d72780bb7e82a18e627">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv) {
<a name="l00062"></a>00062   <span class="keywordflow">if</span> (argc &lt; 4) {
<a name="l00063"></a>00063     cout &lt;&lt; <span class="stringliteral">&quot;usage: &lt;training data&gt;+ &lt;devtest data&gt; &lt;model output file&gt;&quot;</span>
<a name="l00064"></a>00064          &lt;&lt; endl;
<a name="l00065"></a>00065     <span class="keywordflow">return</span> -1;
<a name="l00066"></a>00066   }
<a name="l00067"></a>00067   vector&lt;string&gt; training_files;
<a name="l00068"></a>00068   <span class="keywordtype">int</span> i = 1;
<a name="l00069"></a>00069   <span class="keywordflow">for</span> ( ; i &lt; argc - 2; ++i) {
<a name="l00070"></a>00070     training_files.push_back(argv[i]);
<a name="l00071"></a>00071   }
<a name="l00072"></a>00072   <span class="keyword">const</span> <span class="keywordtype">string</span> devtest_file = argv[i++];
<a name="l00073"></a>00073   <span class="keyword">const</span> <span class="keywordtype">string</span> model_file = argv[i++];
<a name="l00074"></a>00074 
<a name="l00075"></a>00075   <a class="code" href="classreranker_1_1_candidate_set_reader.html" title="A class for reading streams of training or test instances, where each training or test instance is a ...">CandidateSetReader</a> csr(<a class="code" href="perceptron-model-test_8_c.html#abd1f0ea17ba2c81d7bbae9751fd76690">MAX_NUM_EXAMPLES</a>, <a class="code" href="perceptron-model-test_8_c.html#a28c4e710d723a92d5dcd49098ca875e2">MAX_NUM_CANDIDATES</a>,
<a name="l00076"></a>00076                          <a class="code" href="perceptron-model-test_8_c.html#a0a49f4458908b9ff400c3df12cd4e0ac">REPORTING_INTERVAL</a>);
<a name="l00077"></a>00077   csr.<a class="code" href="classreranker_1_1_candidate_set_reader.html#a46df40e5ad98bdee0bb0a552512349d5" title="Sets the verbosity of this reader (mostly for debugging purposes).">set_verbosity</a>(<a class="code" href="perceptron-model-test_8_c.html#ad72dbcf6d0153db1b8d8a58001feed83">DEBUG</a>);
<a name="l00078"></a>00078 
<a name="l00079"></a>00079   vector&lt;shared_ptr&lt;CandidateSet&gt; &gt; training_examples;
<a name="l00080"></a>00080   <span class="keywordtype">bool</span> compressed = <span class="keyword">true</span>;
<a name="l00081"></a>00081   <span class="keywordtype">bool</span> use_base64 = <span class="keyword">true</span>;
<a name="l00082"></a>00082   <span class="keywordtype">bool</span> reset_counters = <span class="keyword">true</span>;
<a name="l00083"></a>00083   <span class="keywordflow">for</span> (vector&lt;string&gt;::const_iterator it = training_files.begin();
<a name="l00084"></a>00084        it != training_files.end();
<a name="l00085"></a>00085        ++it) {
<a name="l00086"></a>00086     csr.<a class="code" href="classreranker_1_1_candidate_set_reader.html#afa8d2312498eb123c00796dbc2dd087a" title="Reads a stream of CandidateSet instances from the specified file or from standard input...">Read</a>(*it, compressed, use_base64, reset_counters, training_examples);
<a name="l00087"></a>00087   }
<a name="l00088"></a>00088   <span class="keywordflow">if</span> (<a class="code" href="perceptron-model-test_8_c.html#ad72dbcf6d0153db1b8d8a58001feed83">DEBUG</a>) {
<a name="l00089"></a>00089     cout &lt;&lt; <span class="stringliteral">&quot;Read &quot;</span> &lt;&lt; training_examples.size() &lt;&lt; <span class="stringliteral">&quot; training examples.&quot;</span>
<a name="l00090"></a>00090          &lt;&lt; endl;
<a name="l00091"></a>00091   }
<a name="l00092"></a>00092 
<a name="l00093"></a>00093   vector&lt;shared_ptr&lt;CandidateSet&gt; &gt; devtest_examples;
<a name="l00094"></a>00094   csr.<a class="code" href="classreranker_1_1_candidate_set_reader.html#afa8d2312498eb123c00796dbc2dd087a" title="Reads a stream of CandidateSet instances from the specified file or from standard input...">Read</a>(devtest_file, compressed, use_base64, reset_counters,
<a name="l00095"></a>00095            devtest_examples);
<a name="l00096"></a>00096   <span class="keywordflow">if</span> (<a class="code" href="perceptron-model-test_8_c.html#ad72dbcf6d0153db1b8d8a58001feed83">DEBUG</a>) {
<a name="l00097"></a>00097     cout &lt;&lt; <span class="stringliteral">&quot;Read &quot;</span> &lt;&lt; devtest_examples.size() &lt;&lt; <span class="stringliteral">&quot; devtest examples.&quot;</span>
<a name="l00098"></a>00098          &lt;&lt; endl;
<a name="l00099"></a>00099   }
<a name="l00100"></a>00100 
<a name="l00101"></a>00101   shared_ptr&lt;Model&gt; model(<span class="keyword">new</span> <a class="code" href="classreranker_1_1_perceptron_model.html" title="This class implements a perceptron model reranker.">PerceptronModel</a>(<span class="stringliteral">&quot;My Test Model&quot;</span>));
<a name="l00102"></a>00102   <span class="keyword">typedef</span> <a class="code" href="classreranker_1_1_collection_candidate_set_iterator.html" title="An implementation of the CandidateSetIterator interface that is backed by an arbitrary C++ collection...">CollectionCandidateSetIterator&lt;vector&lt;shared_ptr&lt;CandidateSet&gt;</a> &gt; &gt;
<a name="l00103"></a>00103       CandidateSetVectorIt;
<a name="l00104"></a>00104   CandidateSetVectorIt training_examples_it(training_examples);
<a name="l00105"></a>00105   CandidateSetVectorIt devtest_examples_it(devtest_examples);
<a name="l00106"></a>00106   model-&gt;Train(training_examples_it, devtest_examples_it);
<a name="l00107"></a>00107 
<a name="l00108"></a>00108   model-&gt;CompactifyFeatureUids();
<a name="l00109"></a>00109 
<a name="l00110"></a>00110   <span class="comment">// TODO(dbikel): Need some kind of a factory for model writers, so the</span>
<a name="l00111"></a>00111   <span class="comment">//               proper ModelProtoWriter gets instantiated given a</span>
<a name="l00112"></a>00112   <span class="comment">//               particular Model subclass.</span>
<a name="l00113"></a>00113   shared_ptr&lt;ModelProtoWriter&gt; model_writer(<span class="keyword">new</span> <a class="code" href="classreranker_1_1_perceptron_model_proto_writer.html" title="A class to construct a ModelMessage from a PerceptronModel instance.">PerceptronModelProtoWriter</a>());
<a name="l00114"></a>00114 
<a name="l00115"></a>00115   confusion_learning::ModelMessage model_message;
<a name="l00116"></a>00116   model_writer-&gt;Write(model.get(), &amp;model_message);
<a name="l00117"></a>00117 
<a name="l00118"></a>00118   <span class="comment">// Write out serialized model.</span>
<a name="l00119"></a>00119   shared_ptr&lt;ConfusionProtoIO&gt; proto_writer(
<a name="l00120"></a>00120       <span class="keyword">new</span> ConfusionProtoIO(model_file, ConfusionProtoIO::WRITE,
<a name="l00121"></a>00121                            compressed, use_base64));
<a name="l00122"></a>00122   proto_writer-&gt;Write(model_message);
<a name="l00123"></a>00123 
<a name="l00124"></a>00124   cout &lt;&lt; <span class="stringliteral">&quot;Have a nice day!&quot;</span> &lt;&lt; endl;
<a name="l00125"></a>00125 }
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